The ROI of rice planthopper by image processing

Tsung Han Tsai, Ting Yu Lee, Po Hsun Chen

研究成果: 書貢獻/報告類型會議論文篇章同行評審

6 引文 斯高帕斯(Scopus)

摘要

Rice Planthopper (RPH) infestation in paddy field is a serious disaster in Asia every year. Finding RPHs based on image processing is an important thing before RPHs growth. We propose a region of interest (ROI) method to detect RPHs clearly. First, get rectangle ROI in HSV space and do color analysis. By using decision tree algorithm, classify analytic data to get binary image of RPHs. The results are useful to reduce executing time and loading and obtain image of RPHs.

原文???core.languages.en_GB???
主出版物標題Proceedings of the 2017 IEEE International Conference on Applied System Innovation
主出版物子標題Applied System Innovation for Modern Technology, ICASI 2017
編輯Teen-Hang Meen, Artde Donald Kin-Tak Lam, Stephen D. Prior
發行者Institute of Electrical and Electronics Engineers Inc.
頁面126-129
頁數4
ISBN(電子)9781509048977
DOIs
出版狀態已出版 - 21 7月 2017
事件2017 IEEE International Conference on Applied System Innovation, ICASI 2017 - Sapporo, Japan
持續時間: 13 5月 201717 5月 2017

出版系列

名字Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017

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???event.eventtypes.event.conference???2017 IEEE International Conference on Applied System Innovation, ICASI 2017
國家/地區Japan
城市Sapporo
期間13/05/1717/05/17

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